Review on BCI Virtual Rehabilitation and Remote Technology Based on EEG for Assistive Devices

Author:

Lazcano-Herrera Alicia GuadalupeORCID,Fuentes-Aguilar Rita Q.ORCID,Chairez IsaacORCID,Alonso-Valerdi Luz MaríaORCID,Gonzalez-Mendoza MiguelORCID,Alfaro-Ponce MarielORCID

Abstract

Virtual reality has been widely used in various industries, such as entertainment, communication, and healthcare, to mention a few. In the health industry, in combination with the brain–computer interfaces (BCIs), virtual reality could produce rehabilitation measures that may contribute novel strategies such as remote rehabilitation or telerehabilitation. The design and development of BCIs integrate different processes, including biosignals acquisition and processing, feature extraction and selection, classification of signals, and application of the technology to patients under rehabilitation treatments. This manuscript presents a literature review of the papers focused on the implementation of BCI and assistive technologies for remote rehabilitation based on virtual reality implementation. The purpose of this comprehensive review is to identify those studies that take advantage of virtual reality in combination with a biomedical technology to improve the performances of diverse rehabilitation processes. Various revisited studies provided a complete system for remote rehabilitation. These findings could lead to applying these models in diverse rehabilitation tasks.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference105 articles.

1. World Health Organization (2022). Strengthening the Collection of Data on Disability, World Health Organization.

2. Physical Symptoms, Distress, and Functional Disability in Youth With Chronic Orthostatic Intolerance;Biggs;J. Pediatr. Psychol.,2022

3. World Health Organization (2011). World report on disability (ISBN 978 92 4 068521 5). Retrieved Sept., 30, 2015.

4. Virtual rehabilitation with video games: A new frontier for occupational therapy;Halton;Occup. Ther. Now,2008

5. Virtual rehabilitation–benefits and challenges;Burdea;Methods Inf. Med.,2003

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